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laurent series, examples and proof, differentiable logarithm, definitions, doubly infinite series, constructing laurent series, singularities
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F (z)
Theorem. Assume
Then
Then ∃F : D → C st
eF^ ≡ f F is differentiable
Note. This theorem says that f has a differentiable logarithm.
Example.
f (z) = z D = C r { 0 }
Assume for the sake of contradiction that F exists. Then Log z is differen- tiable on D ⇒ (^1) z has an anti-derivative in D ⇒ the path integral around the circle of radius 1 is 0. This shows that the assumption that D is simply connected is important.
Proof. Fix z 0 ∈ D. Since D is path connected, for any z ∈ D, choose a piecewise smooth path γ(z, z 0 ) from z 0 to z in D. We want to integrate a function along this path to get F. We take an aside to determine what function to integrate.
eF^ = f ⇒ F ′eF^ = f ′
⇒ F ′^ =
f ′ f
Thus we define,
F (z) =
γ(z,z 0 )
f ′ f
Because f (z) 6 = 0 for any z ∈ D, f^
′ f is continuous, and because^ D^ is sim- ply connected, integrals of continuous functions in D are path-independent. From previous results in the course, F is differentiable, and
F ′(z) =
f ′(z) f (z)
∀z ∈ D
We have constructed F differentiable on D, and
f ′ f
We want to show that
eF^ (z)^ = f (z)
To show equality, we use the standard technique of showing that another function is constant. Consider
g =
eF f
If D is simply connected, and 0 ∈/ D, then we can use the theorem just proved to show that ∃ a differentiable logarithm in D, i.e. a function F : D → C such that
eF^ (z)^ = z ∀z ∈ D
Thus the previous theorem gives a condition on the existence of a differen- tiable logarithm.
2 Laurent series
2.1.1 Doubly-infinite series
A Laurent series is one of the form
∑^ ∞
n=−∞
an(z − z 0 )n
Before rigorously defining Laurent series, we first have to discuss doubly infinite series, specifically what it means for some Laurent series to converge.
Definition.
∑^ ∞
n=−∞
cn cn ∈ C converges ⇔
∑^ ∞
n=
cn converges and
k=
c−k converges
Example.
cn =
1 n ≥ 0 − 1 n < 0
We have then
∑^ N
n=−N
cn = 1
so perhaps we should define
∑^ ∞
n=−∞
cn = +
However,
∑^2 N
n=−N
cn = N + 1 −−−→ N →∞
This limit depends on how it is evaluated. Thus using a partial sum defini- tion is a poor choice for convergence of doubly-infinite series. Checking the positive and negative n terms of the series for convergence separately ensures such difficulties do not arise.
2.1.2 Laurent series
Definition (Laurent Series). A Laurent series is an infinite series
∑^ ∞
n=−∞
an(z − z 0 )n^ z 0 ∈ C and an ∈ C
2.1.3 Annulus
Let 0 ≤ R 1 < R 2 ≤ ∞
Definition (Annulus). An annulus is an open set of the form
A = { z ∈ C : R 1 < | z − z 0 | < R 2 }
Note. • Usually both R 1 and R 2 are finite. This gives a donut-shaped area.
∀ > 0 , ∃N, M < ∞ st
n ≥ N ⇒
n=
an(z − z 0 )
Uniform convergence means that M does not depend on z.
2.2.3 Proof
Proof. Take z 0 = 0 for simplicity. We are given that f is differentiable for R 1 < |z| < R 2. Remember that R 1 could be 0, and R 2 could be ∞. The most basic tool we have for understanding differentiable functions are path integrals. Thus we try to prove our formulation for f (z) in terms of a power series by considering integrals. Choose
R 1 < ρ 1 < |z| < ρ 2 < R 2
Call the circles of radius ρi Cρi The claim is
f (z) =
2 πı
Cρ 2
f (w) w − z
dw −
2 πı
Cρ 1
f (w) w − z
dw
We would like to use Cauchy’s theorem. To do so, take one more circle γ centered at z of small enough radius such that
ρ 1 < |w| < ρ 2 ∀w ∈ range of γ
Apply Cauchy’s theorem to these three circles in the following way. We want to show that for any function g differentiable in A r { z }, ∫
Cρ 2
g −
Cρ 1
g −
γ
g = 0
Once we have this, we can apply it to
g(w) =
f (w) w − z
to get
1 2 πı
Cρ 2
f (w) w − z
dz −
2 πı
Cρ 1
f (w) w − z
dw =
2 πı
γ
f (w) w − z
dw
We have seen that
1 2 πı
γ
f (w) w − z
dw = f (z)
To check the identity, use the generalized Cauchy’s theorem. Then we need only talk about winding numbers. It suffices to show
∀z 1 ∈/ A r { z } w(Cρ 2 , z 1 ) − w(Cρ 1 , z 1 ) − w(γ, z 1 ) = 0
There are three types of points in the annulus. The winding numbers of all three are easily computed by eye.
To continue the proof, we have to convert the path integrals to coefficients of a power series. Use a fact from the previous proof in which we constructed the Taylor series from path integrals, here stated as a lemma,
Lemma. Assume
3 Singularities
Definition (Isolated singularity). Assume
∃δ > 0 st { z : 0 < | z − z 0 | < δ } ⊂ S
Then f has an isolated singularity at z 0.
Note. The domain of f ⊃ a punctured disk centered at z 0 , but not z 0
Definition (Removable singularities). An isolated singularity at z 0 is said to be removable if ∃g differentiable in some neighborhood of z 0 such that g(z) = f (z) at every point of that neighborhood except z 0.
Note. • By defining the function at the point of a removable singularity, the function can be made differentiable. Removable singularities can result from specifying a bad domain for a function.
Log : Cπ → C
The singularity at z 0 = 0 is not isolated.